A - Papers appearing in refereed journals
Li, Y., Gholami, H., Song, Y., Fathabadi, A., Malakooti, H. and Collins, A. L. 2020. Source fingerprinting loess deposits in Central Asia using elemental geochemistry with Bayesian and GLUE models. Catena. 194, p. 104808. https://doi.org/10.1016/j.catena.2020.104808
Authors | Li, Y., Gholami, H., Song, Y., Fathabadi, A., Malakooti, H. and Collins, A. L. |
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Abstract | The provenance of loess deposits in Central Asia is largely unexplored. Accordingly, the goals of this research |
Keywords | Source fingerprinting; Uncertainty; Virtual mixtures; Ili basin; Central Asia |
Year of Publication | 2020 |
Journal | Catena |
Journal citation | 194, p. 104808 |
Digital Object Identifier (DOI) | https://doi.org/10.1016/j.catena.2020.104808 |
Open access | Published as non-open access |
Funder | Biotechnology and Biological Sciences Research Council |
Funder project or code | S2N - Soil to Nutrition - Work package 3 (WP3) - Sustainable intensification - optimisation at multiple scales |
Output status | Published |
Publication dates | |
Online | 29 Jul 2020 |
Publication process dates | |
Accepted | 20 Jul 2020 |
Publisher | Elsevier Science Bv |
ISSN | 0341-8162 |
Permalink - https://repository.rothamsted.ac.uk/item/981xw/source-fingerprinting-loess-deposits-in-central-asia-using-elemental-geochemistry-with-bayesian-and-glue-models
Publisher's version